How do we minimize the negative impacts of computing, even though it’s doing good or serving a useful purpose? Soluna is hosting Computer Scientist Andrew Chien in this episode. We learn more about his introduction to computer science, the course of his research in machine learning, cloud computing, and clean energy. We then talk about the practical and theoretical applications of zero-carbon cloud computing now and in the future.
In this episode, the team at Soluna is hosting William Eckhardt Professor of Computer Science at the University of Chicago, and Senior Computer Scientist at Argonne National Labs, Andrew Chien. Our work at Soluna builds upon his research that shows adding dispatchable load not only reduces stranded power, but it also improves both grid cost and stability. Ultimately, this allows for higher penetration of renewable energy within an existing system.
His work started with one crucial question: “How do we minimize the negative impacts of computing, even though it’s doing good or serving a useful purpose?” We learn more about his introduction to computer science, the course of his research in machine learning, cloud computing, and clean energy. We then talk about the practical and theoretical applications of zero-carbon cloud computing now and in the future.
If you enjoyed this conversation and want to read more on this subject, check out “Zero-Carbon Cloud: Solving Renewable Energy’s Biggest Problem” on our blog.
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